Instructions to use dreamerdeo/da-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dreamerdeo/da-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dreamerdeo/da-large") model = AutoModelForSeq2SeqLM.from_pretrained("dreamerdeo/da-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f6c594b1039e47f9d48137f38064969a3bb34b555fe88b787dfed01f4f2a73e
- Size of remote file:
- 3.13 GB
- SHA256:
- e37ea3374e90847d2f52fbeec66e4189afb8961c582f597ed237861a1d68406b
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